Mitsubishi Power Americas
Lake Mary, FL
Data Science Internship (Governance)
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- Location
- Lake Mary, FL
- Work type
- Onsite
- Visa
- Sponsorship available
- Posted
- 1 week ago
- Apply on
- mhicareers.com
About this role
Mitsubishi Power Americas is focused on redefining power generation to accelerate the world's energy transition. They are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions through data analytics, improving assurance effectiveness and control monitoring.
What you'll do:
- Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
- Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
- Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
- Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
- Support Compliance, J-SOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
- Evaluate control design and operating effectiveness using data-driven techniques
- Ensure analytics are traceable, defensible, and aligned with assurance standards
- Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders
- Comply with all security, ethics, confidentiality, and data governance requirements
- Support development of reusable analytics, templates, and documentation to scale analytics capabilities
- Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
- Communicate findings clearly and effectively with peers, management, and stakeholders
What they're looking for:
- Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
- Strong analytical and problem-solving skills with attention to detail
- Experience with at least one modern programming language; Python preferred
- Working knowledge of data analysis tools, databases, and Microsoft Office applications
- Ability to interpret technical and business documentation and communicate findings effectively
- Adaptable, curious, and proactive mindset with interest in a 1–2 year development experience
- Ability to meet physical requirements including standing, walking, bending, and lifting up to 25–50 pounds in varying environments
Benefits:
- Mentorship and professional development within assurance and analytics disciplines
- Mentorship and professional development within assurance and analytics disciplines
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